Reversible electroencephalogram analysis method

An analysis method and electrical signal technology, applied in the field of biomedical digital signal processing, can solve the problems of ignoring the reversible analysis process of the algorithm and the interference of the original signal.

Inactive Publication Date: 2015-09-09
CHONGQING UNIV
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Problems solved by technology

[0009] The human brain is a time-varying nonlinear dynamical system, which is characterized by certainty in chaos. Since the EEG signal will introduce random errors after measurement, it will cause interference to the original signal; traditional signal processing tech

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  • Reversible electroencephalogram analysis method
  • Reversible electroencephalogram analysis method
  • Reversible electroencephalogram analysis method

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Embodiment approach

[0048] according to figure 1 Shown step, specific implementation is as follows:

[0049] 1. Scenario determination: classify the epileptic states of epileptic patients into two types, the epileptic interval and the epileptic seizure;

[0050] Typical interictal generalized epileptiform discharges include the following patterns:

[0051]Spike slow complex rhythm: the frequency of occurrence is generally between 1-6Hz. Slow spike and slow complex rhythms below 3 Hz suggest atypical absence seizures. Rhythmic spike and slow complexes at 3 Hz suggest typical absence seizures. Spike and slow complexes above 3 Hz (3-5 Hz) are common in idiopathic generalized Myoclonic seizures or generalized tonic-clonic seizures with epileptic seizures. During sleep, the frequency of the spike-on-wave complex often slows down and can occur in isolation or in fragments. High-amplitude arrhythmia: It is manifested by the disappearance of normal EEG activity, diffuse high-amplitude slow-wave activi...

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Abstract

In recent years, a great advancement on the electroencephalogram detection and classification feature extraction technology is obtained, various behavior activities of a person are detected from epilepsy morbidities, in a traditional mode, an electroencephalogram is used for authority brain disease studying and definite diagnosis making, and a classification data resource is used for judging human thinking activities and limb, face and eye activities at present; analysis of the electroencephalogram is more and more important in the fields. The invention provides a new electroencephalogram analysis method; and through analysis on the electroencephalogram, on the basis that the classification accuracy is guaranteed, the reversible analysis method is provided. The method can be finally used for definite diagnosis making of clinical experience, the human brain state stage can be judged, and difficulties of electroencephalogram accurate quantitative analysis are avoided; meanwhile, reverse analysis on quantitative analysis results can be carried out, verification with the clinical medicine experience is finally achieved, and more scientific conclusions are obtained

Description

technical field [0001] The invention relates to the technical field of biomedical digital signal processing, pattern extraction and pattern classification, and in particular to a method for reversible analysis and processing of electroencephalogram signals that can effectively extract certain state characteristics of electroencephalogram signals. Background technique [0002] For many brain diseases, before, during and after the onset of the onset, the EEG signal changes to varying degrees. At the same time, many application classifications applied to the brain-computer interface and sleep state also mainly focus on the EEG signal. Analysis of the changing characteristics. [0003] In recent years, the detection and classification feature extraction technology of EEG signals has made great progress, from the detection of epilepsy to various human behaviors, from the traditional use of EEG signals as the authoritative research and diagnosis of brain diseases, to now through i...

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Application Information

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IPC IPC(8): A61B5/0476
CPCA61B5/725A61B5/7264A61B5/7271A61B5/369
Inventor 魏善碧柴毅唐健罗宇陈淳邓萍
Owner CHONGQING UNIV
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